Contributions to Deep Learning Models - RiuNet
... Graphical depiction of the Local-DNN model. Several patches are extracted from the input image and they are fed into a DNN which learns a probability distribution over the labels in the output layer. The final label of the image is assigned using a fusion method that takes into account all the patch ...
... Graphical depiction of the Local-DNN model. Several patches are extracted from the input image and they are fed into a DNN which learns a probability distribution over the labels in the output layer. The final label of the image is assigned using a fusion method that takes into account all the patch ...
A tale of two stories: astrocyte regulation of
... Mechanisms of short-term presynaptic plasticity Despite its apparent simplicity, the Tsodyks-Markram (TM) model (equations 1-2) can generate surprisingly complex synaptic dynamics including multiple mechanisms of short-term plasticity among which are facilitation and depression. Nonetheless, the occ ...
... Mechanisms of short-term presynaptic plasticity Despite its apparent simplicity, the Tsodyks-Markram (TM) model (equations 1-2) can generate surprisingly complex synaptic dynamics including multiple mechanisms of short-term plasticity among which are facilitation and depression. Nonetheless, the occ ...
Package `FCNN4R`
... normalised by the number of outputs only, the average over all rows (all i) returns the same as grad(input, output). This function is useful for implementing on-line teaching algorithms. mlp_gradij computes gradients of network outputs, i.e the derivatives of outputs w.r.t. active weights, at given ...
... normalised by the number of outputs only, the average over all rows (all i) returns the same as grad(input, output). This function is useful for implementing on-line teaching algorithms. mlp_gradij computes gradients of network outputs, i.e the derivatives of outputs w.r.t. active weights, at given ...
Mechanisms of Leptin Action and Leptin Resistance
... the SH2 proteins that they recruit. There are three conserved residues on the intracellular domain of LRb: Tyr985 , Tyr1077 , and Tyr1138 . Data from our and other labs suggest that all three of these sites are phosphorylated and contribute to downstream leptin signaling (8, 54, 55, 60, 60a). There ...
... the SH2 proteins that they recruit. There are three conserved residues on the intracellular domain of LRb: Tyr985 , Tyr1077 , and Tyr1138 . Data from our and other labs suggest that all three of these sites are phosphorylated and contribute to downstream leptin signaling (8, 54, 55, 60, 60a). There ...
Dowe2010_MML_Handboo.. - Clayton School
... Furthermore, defining a prefix code to be a set of (k-ary) strings (of arity k, i.e., where the available alphabet from which each symbol in the string can be selected is of size k) such that no string is the prefix of any other, then we note that the 2n binary strings of length n form a prefix code ...
... Furthermore, defining a prefix code to be a set of (k-ary) strings (of arity k, i.e., where the available alphabet from which each symbol in the string can be selected is of size k) such that no string is the prefix of any other, then we note that the 2n binary strings of length n form a prefix code ...
as a PDF
... Some other approaches include genetic fuzzy neural networks and genetic fuzzy clustering, among others ...
... Some other approaches include genetic fuzzy neural networks and genetic fuzzy clustering, among others ...
Calcium Transients in the Garter Snake Vomeronasal Organ
... patterns of activity displayed a scattered appearance with a heterogeneous organization in which it was possible to find nonuniform foci of activity distributed in multiple epithelial regions separated by silent sectors. Within each lamina there were important variations in the amplitude and time co ...
... patterns of activity displayed a scattered appearance with a heterogeneous organization in which it was possible to find nonuniform foci of activity distributed in multiple epithelial regions separated by silent sectors. Within each lamina there were important variations in the amplitude and time co ...
Understanding the process of multisensory integration
... than those from cues that are temporally displaced from one another. However, the present results from studies of cat SC neurons show that this "temporal principle" of multisensory integration is more nuanced than previously thought and reveal that the integration of temporally-displaced sensory res ...
... than those from cues that are temporally displaced from one another. However, the present results from studies of cat SC neurons show that this "temporal principle" of multisensory integration is more nuanced than previously thought and reveal that the integration of temporally-displaced sensory res ...
neuronal reward and decision signals: from theories to data
... implemented in the brain in various neuronal reward signals, and thus does seem to have a physical basis. Although sophisticated forms of reward and decision processes are far more fascinating than arcane fundamental variables, their investigation may be crucial for understanding reward processing. ...
... implemented in the brain in various neuronal reward signals, and thus does seem to have a physical basis. Although sophisticated forms of reward and decision processes are far more fascinating than arcane fundamental variables, their investigation may be crucial for understanding reward processing. ...
Towards Smart User Models for Open Environments
... context, personalised and adaptive human-system interfaces have become a key requirement in understanding user requirements [Luck, et al.; 2003a], [Murray; 2002]. As G. Fischer says: The challenge in an information-rich world is not only to make information available to people at any time, at any pl ...
... context, personalised and adaptive human-system interfaces have become a key requirement in understanding user requirements [Luck, et al.; 2003a], [Murray; 2002]. As G. Fischer says: The challenge in an information-rich world is not only to make information available to people at any time, at any pl ...
PART 1 - FTP Directory Listing
... To create the skeleton of CRONOS, the human skeleton was copied as accurately as possible at life size.3 The bones were constructed from a new type of thermoplastic known in the UK as Polymorph and in the US as Friendly Plastic, which softens and fuses at 60 degrees and can be freely hand moulded un ...
... To create the skeleton of CRONOS, the human skeleton was copied as accurately as possible at life size.3 The bones were constructed from a new type of thermoplastic known in the UK as Polymorph and in the US as Friendly Plastic, which softens and fuses at 60 degrees and can be freely hand moulded un ...
By ON THE ROLE OF THE SUPERIOR COLLICULUS IN THE CONTROL... VISUALLY-GUIDED SACCADES
... I must thank my wife Megan for her ongoing love and support. As a successful professional, mother, wife and fellow graduate student her dedication and capabilities far exceed my own and never cease to amaze me. And finally, my beautiful daughter Nora whom I adore. I am blessed and honoured to be yo ...
... I must thank my wife Megan for her ongoing love and support. As a successful professional, mother, wife and fellow graduate student her dedication and capabilities far exceed my own and never cease to amaze me. And finally, my beautiful daughter Nora whom I adore. I am blessed and honoured to be yo ...
THE ELECTRODE-TISSUE INTERFACE DURING RECORDING
... requirements over the years. Dr. Landau thanks for helping spark my interest in electrochemisty, even though I am not good at it. I really enjoyed your class. Dawn thanks for your willingness to help and for sharing your wealth of knowledge in the area of microelectrode recording. Dr. Durand thanks ...
... requirements over the years. Dr. Landau thanks for helping spark my interest in electrochemisty, even though I am not good at it. I really enjoyed your class. Dawn thanks for your willingness to help and for sharing your wealth of knowledge in the area of microelectrode recording. Dr. Durand thanks ...
Outputs of Radula Mechanoafferent Neurons in Aplysia are
... The transmission of sensory information from the periphery to the nervous system is modulated both at the level of primary sensory afferents (Brooke et al. 1997; Gu and MacDermott 1997; Hill et al. 1997; Passaglia et al. 1998; Pasztor and Macmillan 1990) and at various stages of processing in the CN ...
... The transmission of sensory information from the periphery to the nervous system is modulated both at the level of primary sensory afferents (Brooke et al. 1997; Gu and MacDermott 1997; Hill et al. 1997; Passaglia et al. 1998; Pasztor and Macmillan 1990) and at various stages of processing in the CN ...
Feeding Stimulants Activate an Identified Dopaminergic Interneuron
... connections with the rest of the CNS (but see Kabotyanski et al. 1994). Second, dopaminergic neurons, whose activation mimics the effects of dopamine superfusion, have rarely been identified. Third, there is diversity of dopamine receptors both within and across species (Ascher 1972; Berry and Cottr ...
... connections with the rest of the CNS (but see Kabotyanski et al. 1994). Second, dopaminergic neurons, whose activation mimics the effects of dopamine superfusion, have rarely been identified. Third, there is diversity of dopamine receptors both within and across species (Ascher 1972; Berry and Cottr ...
Full-Text PDF
... A new post processing method is developed in [58] for maintaining a good interpretability-accuracy trade-off in linguistic fuzzy systems, which performs rule selection and membership function tuning by focusing on the Pareto zone having most accurate solutions but the least number of possible rules. ...
... A new post processing method is developed in [58] for maintaining a good interpretability-accuracy trade-off in linguistic fuzzy systems, which performs rule selection and membership function tuning by focusing on the Pareto zone having most accurate solutions but the least number of possible rules. ...
Financial Time Series Forecasting Using Improved Wavelet Neural
... outperforms each of the two individual models. Traditional learning approaches have difficulty with noisy, non-stationary time series prediction. For this reason, [16] uses a hybrid model which combines symbolic processing and recurrent neural networks to solve the problem. The model converts the ti ...
... outperforms each of the two individual models. Traditional learning approaches have difficulty with noisy, non-stationary time series prediction. For this reason, [16] uses a hybrid model which combines symbolic processing and recurrent neural networks to solve the problem. The model converts the ti ...
